Articles | Volume 8, issue 7
https://doi.org/10.5194/gmd-8-1955-2015
https://doi.org/10.5194/gmd-8-1955-2015
Methods for assessment of models
 | 
07 Jul 2015
Methods for assessment of models |  | 07 Jul 2015

GASAKe: forecasting landslide activations by a genetic-algorithms-based hydrological model

O. G. Terranova, S. L. Gariano, P. Iaquinta, and G. G. R. Iovine

Viewed

Total article views: 3,854 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,331 1,364 159 3,854 167 150
  • HTML: 2,331
  • PDF: 1,364
  • XML: 159
  • Total: 3,854
  • BibTeX: 167
  • EndNote: 150
Views and downloads (calculated since 11 Feb 2015)
Cumulative views and downloads (calculated since 11 Feb 2015)

Cited

Saved (final revised paper)

Saved (preprint)

Latest update: 17 Apr 2024
Download
Short summary
A model for predicting the timing of activation of rainfall-induced landslides is presented. Calibration against real events is based on genetic algorithms, and provides a family of optimal solutions (kernels) that maximize a fitness function. Accordingly, a set of mobility functions is obtained through convolution with rainfall. Once properly validated, the model allows one to estimate future landslide activations in the same study area, by employing either recorded or forecasted rainfall.